{"id":"W4392165316","doi":"10.1002/dta.3664","title":"Gene doping detection in the era of genomics","year":2024,"lang":"en","type":"review","venue":"Drug Testing and Analysis","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai University of Sport; Shanghai Jiao Tong University; World Anti-Doping Agency","keywords":"Genomics; Computational biology; Gene; Biology; Computer science; Genetics; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002393733,0.0008328537,0.001318789,0.001487825,0.0005720769,0.002262566,0.0008646997,0.002329229,0.001704486],"category_scores_gemma":[0.003034651,0.0004735102,0.0005350347,0.001289447,0.002213119,0.002913691,0.001171059,0.002950751,0.001478939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246098,"about_ca_system_score_gemma":0.001632021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116275,"about_ca_topic_score_gemma":0.0009836152,"domain_scores_codex":[0.9974543,0.0005978153,0.00009518192,0.0006151734,0.001091423,0.0001461186],"domain_scores_gemma":[0.9980347,0.0008455056,0.0002802901,0.0001237842,0.0005911208,0.0001247384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002847767,0.0001233104,0.004034865,0.005170319,0.0001633774,0.0008300865,0.0006302838,0.002054201,0.3349193,0.09220916,0.02648205,0.5330982],"study_design_scores_gemma":[0.00002434906,0.0003089721,0.003132188,0.0008058654,0.0001971912,0.002684876,0.0004497183,0.006734787,0.2934265,0.05911655,0.6328896,0.0002294014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03842657,0.5088889,0.3804207,0.02841185,0.004554464,0.0001494128,0.001170698,0.002708941,0.0352684],"genre_scores_gemma":[0.271552,0.4316744,0.2534524,0.01577547,0.002448621,0.0003207349,0.001435118,0.0006514872,0.02268991],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002393733,"threshold_uncertainty_score":0.01265943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794789504540043,"score_gpt":0.315297370631001,"score_spread":0.2973494755856005,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}